p2 - Programación de computadores | Grupo 3 | 2021 - 2

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p2

El ejercicio debe ser resuelto adjuntando un archivo .ipynb sólo con la función que resuelva el problema. Tenga en cuenta que no puede usar funciones pre-establecidas de python. También tenga en cuenta que debe probar su solución con todos los ejemplos de prueba que le aparezcan, esto determinará su nota (si todos ejecutan bien, su nota en dicho ejercicio es 5)

Enunciado del problema

Un trabajador necesita saber cuánto será su salario de este mes. Él sabe que ha trabajado un número nominal N de horas en el mes, pero además tiene un número E de horas extras durante el mes. Si se le paga un monto S por cada hora y un incremento del 10% que se aplica a cada hora extra, usted debe determinar cuánto se le pagará al trabajador este mes.

Entrada Únicamente tres (3) variables, en la primera se especifica la cantidad nominal de horas N, en la segunda se especifica la cantidad de horas extra E y en la última se especifica el salario por cada hora S.

Escriba una función llamada "Salario" que realice el cálculo. Debe recibir las entradas en el siguiente orden: N,E,S

Ejemplos

Entrada Ejemplo 1

160,20,5000

Salida Ejemplo 1

910000.0

Entrada Ejemplo 2

80,5,4500

Salida Ejemplo 2

384750.0

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In general, when submitting a notebook, all Python 3.6 code is supported on UNCode. However, Ipython notebooks and python code differ in some functionalities, then UNCode might support them or not. Also, there are some things you should bear in mind when creating your notebook.

Python modules:
You are able to use the next python modules in addition to the pre installed python modules:
import pandas, numpy, matplotlib, scipy, scikit-learn, seaborn, datascience, plotly, cufflinks, bokeh, tabulate, nltk, tensorflow, Keras

Installing modules:
All the modules and data you require are already installed and supported by UNCode.
Then, when you have lines installing a module, for instance: !pip install pandas or using conda, these lines are automatically removed from your notebook to avoid runtime execution errors.

In case you want to use one module and it is not in the previous list, do not hesitate on reaching out for support.
Print expressions:
Usually while executing your notebook on your runtime you might add some print expressions, though, these expressions are deleted and these outputs are not shown in the submission feedback.
Internet access in grading environment:
The internet access when your code is being graded is dependant on the task. Some tasks might allow it or not.
In case you are allowed to access internet, this mainly will work to download files or data, for instance datasets. As stated above, you cannot install modules.
In case there is not access, be careful when using code that requires internet access as it will fail while grading.
Magic functionality execution:
Magic functions are not allowed when your notebook is graded. For example the next line:
%matplotlib inline
In case your notebook contains some lines like this, they will be automatically removed to avoid runtime execution errors.
Commands execution:
Python Notebooks provide a functionality to execute commands like these:
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!ls is turned into the following code:
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call = subprocess.run(["ls"], stdout=subprocess.PIPE)
print(call.stdout.decode('utf-8')
That code will do the same for you as in the notebook. However, you are not allowed to assign the result of command execution to variables, for instance the next line will return an error:
result = !ls.
Google Colab modules
When you use Google Colaboratory (Colab) and you want to load and read data from Google Drive, you are required to use some python modules unique in Colab. These modules are not supported by UNCode. Then, make sure when you submit your notebook, you do not include it.

Max file size: 1.0MB
Allowed extensions: .ipynb

Deadline	04/05/2022 09:00:00
Submission limit	No limitation

p2

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p2

Enunciado del problema

Ejemplos

About Python Notebook submissions

In general, when submitting a notebook, all Python 3.6 code is supported on UNCode. However, Ipython notebooks and python code differ in some functionalities, then UNCode might support them or not. Also, there are some things you should bear in mind when creating your notebook.

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After you submit your code, it will be assessed and a result will be given to you.
The tables below list all possible results.

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